BNSF | Tech is looking to transform its data assets into a real-time enterprise by leading the charge into the future as an AI company.
Requirements
- 2 years of experience building data science solutions or relevant experience without a Bachelor's degree
- Demonstrated understanding of statistical analysis and machine learning techniques.
- Experience with data visualization tools.
- Proficiency in programming languages such as Python, R, SQL, and familiarity with Java or Scala
- Experience with data science cloud platforms
- Previous hands-on experience with AI/Machine Learning frameworks and tools like TensorFlow, PyTorch, or scikit-learn.
- Experience with geospatial python libraries
Responsibilities
- Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems.
- Develop and implement machine learning models to predict outcomes and improve processes.
- Identify, extract, aggregate, and synthesize data using SQL and NoSQL databases, R, Python or other appropriate languages to enable analysis, model development, and solution deployment.
- Drive moderate to complex data science, machine learning, traditional artificial intelligence, generative artificial intelligence or optimization projects, working with stakeholders to understand contextual problems quickly and define, analyze, and deliver solutions based on business objectives
- Create visualizations and reports to communicate findings effectively.
- Maintain and update data pipelines to ensure data integrity and accuracy.
- Stay current with industry trends and advancements in data science and machine learning.
Other
- Work with cross-functional teams
- Collaborate with stakeholders to understand their needs and provide actionable insights.
- Travel is up to 20%.
- Employees may be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings.
- All positions require pre-employment background verification.
